12 general skills or competencies (Job family competencies) for Top Data Scientist
Skill definition-Collecting, analyzing, and interpreting a large amount of data to uncover information to help organizations make informed business decisions.
Level 1 Behaviors
(General Familiarity)
Describes the concept, definition, and benefits of big data analytics.
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Level 2 Behaviors
(Light Experience)
Compiles report on the results of big data analytics and presents to the management.
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Level 3 Behaviors
(Moderate Experience)
Contributes to the development of tools and data models for big data analytics platforms.
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Level 4 Behaviors
(Extensive Experience)
Drives big data and predictive analytics development to optimize product performance.
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Level 5 Behaviors
(Mastery)
Creates the latest trends in big data analytics to constantly gauge customer needs and create new products.
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Skill definition-Evaluating business data, translating it to actionable insights, and using it to make better-informed decisions.
Level 1 Behaviors
(General Familiarity)
Describes the basic terminologies used in business intelligence and business analytics processes.
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Level 2 Behaviors
(Light Experience)
Assists in preparing insights for business performance by using business intelligence tools.
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Level 3 Behaviors
(Moderate Experience)
Implements the integration of proprietary business intelligence applications within the department.
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Level 4 Behaviors
(Extensive Experience)
Directs the development of a business intelligence platform to report end-user data mining.
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Level 5 Behaviors
(Mastery)
Creates business intelligence reviews and strategies to interpret short-term and long-range forecasts.
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11 soft skills or competencies (core competencies) for Top Data Scientist
Skill definition-Insight into our organization's business, goals, and values. Ability to design and implement initiatives that facilitate successful outcomes.
Level 1 Behaviors
(General Familiarity)
Describes the market conditions that impact the business.
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Level 2 Behaviors
(Light Experience)
Collects and compiles competitor information for competitive analysis.
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Level 3 Behaviors
(Moderate Experience)
Applies technical expertise, business sense, and product knowledge to manage the product lifecycle effectively.
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Level 4 Behaviors
(Extensive Experience)
Coordinates technical and business teams to solve complex and diverse customer problems.
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Level 5 Behaviors
(Mastery)
Builds strong business partnerships internally and externally to drive "win-win" business successes.
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Skill definition-The process of acquiring, developing, leveraging and retaining a high-performance workforce to realize organizational goals.
Level 1 Behaviors
(General Familiarity)
Discusses the relationships among talent management programs and other HR practices.
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Level 2 Behaviors
(Light Experience)
Collects feedback on various internal reward and recognition programs to identify room for improvement.
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Level 3 Behaviors
(Moderate Experience)
Implements and troubleshoots talent management tools utilized by management.
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Level 4 Behaviors
(Extensive Experience)
Designs and updates the talent acquisition policies and processes to be cost-effective.
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Level 5 Behaviors
(Mastery)
Creates and develops a strong employer brand to continually attract new talent and maintain the reputation as a desirable employer.
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Summary of Top Data Scientist skills and competencies
There are 0 hard skills for Top Data Scientist.
12 general skills for Top Data Scientist, Big Data Analytics, Business Intelligence, Business Strategy, etc.
11 soft skills for Top Data Scientist, Business Acumen, Talent Management, Organizational Leadership, etc.
While the list totals 23 distinct skills, it's important to note that not all are required to be mastered to the same degree. Some skills may only need a basic understanding, whereas others demand a higher level of expertise.
For instance, as a Top Data Scientist, he or she needs to be skilled in Business Acumen, be skilled in Talent Management, and be skilled in Organizational Leadership.